New algorithms that decipher complex sequences of amino acids offered an early view of the coronavirus variant. They could point the way to future drugs.
Ford used both packages, but because neither was designed or validated for predicting small changes caused by mutations like those of Omicron, his results were more suggestive than definitive. Some researchers treated them with suspicion. But the fact that he could easily experiment with powerful protein prediction AI illustrates how the recent breakthroughs are already changing the ways biologists work and think.
“These tools allow you to make an educated guess really quickly—which is important in a situation like Covid.”Because a protein’s shape determines how it behaves, knowing its structure can help all kinds of biology research, from studies of evolution to work on disease. In drug research, figuring out a protein structure can help reveal potential targets for new treatments.
Deciphering a protein’s structure traditionally involved painstaking lab work. Most of the roughly 200,000 known structures were mapped using a tricky process in which proteins are formed into a crystal and bombarded with x-rays. Newer techniques like the electron microscopy used by Subramaniam can be faster, but the process is still far from easy.
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